Arun's repositories
audio-transformers-course
The Hugging Face Course on Transformers for Audio
deep_learning_portal
Deep Learning Portal 🔥 This repository contains implementation code for important research papers and starter guides for common deep learning tools.
nano_deep_learning_dev_pipeline
A lightweight workflow for a deep learning project, covering development to production deployment. The example model used here is a CNN MNIST classifier. The model is hosted on Hugging Face space, just a guide for a quick and hacky prototype workflow.
stable_diffusion
This is a lightweight reimplementation of the original Stable Diffusion paper on Fashion MNIST dataset.
tabular_qlearning
Tabular Q-Learning from scratch.
variational_autoencoder
Recreating the auto-encoding variational bayes paper, on Fashion MNIST dataset on a local machine.
rl_explore_exploit_algo_comparison
Reinforcement Learning: Explore/Exploit Algorithm Performance Comparison.
Auto-GPT
An experimental open-source attempt to make GPT-4 fully autonomous.
build-your-own-x
Master programming by recreating your favorite technologies from scratch.
content
The content behind MDN Web Docs
Keystroke-Datasets
A public repo for the datasets recorded as part of "A Practical Deep Learning-Based Acoustic Side Channel Attack on Keyboards".
LoRA
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
MIT-6.5940
All Homeworks for TinyML and Efficient Deep Learning Computing 6.5940 • Fall • 2023 • https://efficientml.ai
MLP_generate_keyword_from_article_abstract
Generate Main Keywords from Given Article Abstract Text Using MLP(Multilayer Perceptron)
nanoGPT
The simplest, fastest repository for training/finetuning medium-sized GPTs.
nanoGPT_experiment_shakespeare_data
NanoGPT Experiment With Shakespeare Data
nbdev_test_ar
tutorial
Open-Assistant
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
segment-anything-2
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
sentence-transformers
Multilingual Sentence & Image Embeddings with BERT
the-algorithm
Source code for Twitter's Recommendation Algorithm
the-algorithm-ml
Source code for Twitter's Recommendation Algorithm